ArticleBiometrika2010
Detecting simultaneous changepoints in multiple sequences.
Article in Biometrika, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
32 citing papers in PubMed.
- Ensemble methods for testing a global null.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2024Article
- Epidemic changepoint detection in the presence of nuisance changes.Statistical papers (Berlin, Germany) · 2023Article
- BMI-CNV: a Bayesian framework for multiple genotyping platforms detection of copy number variants.Genetics · 2022Article
- High Dimensional Change Point Inference: Recent Developments and Extensions.Journal of multivariate analysis · 2022Article
- Simultaneous Detection of Signal Regions Using Quadratic Scan Statistics With Applications to Whole Genome Association Studies.Journal of the American Statistical Association · 2022Article
- National Trends in Disease Activity for COVID-19 Among Children in the US.Frontiers in pediatrics · 2021Article
- PSCAN: Spatial scan tests guided by protein structures improve complex disease gene discovery and signal variant detection.Genome biology · 2020Article
- Methods for copy number aberration detection from single-cell DNA-sequencing data.Genome biology · 2020Review
- SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing.Cell systems · 2020Article
- EnsembleCNV: an ensemble machine learning algorithm to identify and genotype copy number variation using SNP array data.Nucleic acids research · 2019Article
- On optimal multiple changepoint algorithms for large data.Statistics and computing · 2017Article
- THE SCREENING AND RANKING ALGORITHM FOR CHANGE-POINTS DETECTION IN MULTIPLE SAMPLES.The annals of applied statistics · 2016Article
- Robust group fused lasso for multisample copy number variation detection under uncertainty.IET systems biology · 2016Article
- Article
- Estimating DNA methylation levels by joint modeling of multiple methylation profiles from microarray data.Biometrics · 2016Article
- Penalized weighted low-rank approximation for robust recovery of recurrent copy number variations.BMC bioinformatics · 2015Article
- Consistent testing for recurrent genomic aberrations.Biometrika · 2015Article
- SAAS-CNV: A Joint Segmentation Approach on Aggregated and Allele Specific Signals for the Identification of Somatic Copy Number Alterations with Next-Generation Sequencing Data.PLoS computational biology · 2015Article
- Identifying localized changes in large systems: Change-point detection for biomolecular simulations.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- CODEX: a normalization and copy number variation detection method for whole exome sequencing.Nucleic acids research · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We discuss the detection of local signals that occur at the same location in multiple one-dimensional noisy sequences, with particular attention to relatively weak signals that may occur in only a fraction of the sequences. We propose simple scan and segmentation algorithms based on the sum of the chi-squared statistics for each individual sample, which is equivalent to the generalized likelihood ratio for a model where the errors in each sample are independent. The simple geometry of the statistic allows us to derive accurate analytic approximations to the significance level of such scans. The formulation of the model is motivated by the biological problem of detecting recurrent DNA copy number variants in multiple samples. We show using replicates and parent-child comparisons that pooling data across samples results in more accurate detection of copy number variants. We also apply the multisample segmentation algorithm to the analysis of a cohort of tumour samples containing complex nested and overlapping copy number aberrations, for which our method gives a sparse and intuitive cross-sample summary.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.